What is Alzheimer-contributions

Alzheimer-contributions allows to estimate the relative contribution of one out of many variables to the variance explained by a linear model predicting topography of disease biomarkers.

_images/sphx_glr_plot_adni_regional_biomarkers_001.png

Alzheimer's disease lesions topography

W-maps and regional T-scores computed across 1000 data subsamples

_images/sphx_glr_plot_adni_atrophy_epicenters_002.png

Pathology epicenters estimation

Proxies for epicenters estimated from data

_images/sphx_glr_plot_adni_lmg_contributions_001.png

Cross-validated LMG contributions

LMG relative importance analysis and cross-validation combined to produce a robust estimate of regressors contributions

_images/sphx_glr_plot_adni_lmg_polar_bars_002.png

Contributions visualisation

Comprehensive and customisable plotting of cross-validated contributions

_images/sphx_glr_plot_adni_match_nonapoe4_patients_001.png

Matching on several covariates

Nearest Neighbours matching to balance for demographic covariates

Reference

Contributions of connectional pathways to shaping Alzheimer’s disease pathologies. Bougacha S, Roquet D, Landeau B, Saul E, Naveau M, Sherif S, Bejanin A, Dhenain M, Raj A, Vivien D, Chetelat G. Brain Commun. 2025 Jan 6;7(1):fcae459.